搜索资源列表
PCA_LDA.rar
- 《机器学习》课上的作业，PCA和LDA降维，尽管网上很多，但很少注释，另外细节上也没注意。这里有很详细的注释。另外还附上一个Naive贝叶斯分类器，大家可以作比较。附带的图像包是OLR人脸。ReducedDim为想要提取的特征数，不是百分比！," Machine learning" classes on the homework, PCA and LDA dimensionality reduction, even though a lot of online, but f
bayes
- 用matlab完成基于最小错误率的贝叶斯分类器的设计-Done with matlab error rate based on the minimum design of Bayesian classifier
matlab_bayes_classifier
- 使用matlab编写的bayes分类器，朴素贝叶斯分类器-Prepared using bayes classifier matlab
naivebayes
- 模式识别中朴素贝叶斯分类器,实习数据的良好分类技术-naive bayesian classification
bayesleastrisk
- matlab贝叶斯分类器，基于matlab的仿真-Bayesian classifier matlab, matlab-based simulation
judger
- 最小错误率和最小风险贝叶斯分类器，附带示例数据-Minimum error rate and minimum risk Bayes classifier, with sample data
119128664bayes_classifier
- 贝叶斯分类器源代码．能很好的实现分类．是很好的学习资料．期望与大家一起分享．-Bayesian classifier source code. Can achieve very good classification. Is a very good learning materials. Look forward to working with you to share
zuoye
- 利用matlab软件对模式识别进行了很好的仿真，利用贝叶斯分类器对男女生进行了很好的分类。-Pattern recognition using matlab software had a very good simulation, the use of Bayesian Classifiers for boys and girls had a very good classification.
classifier
- 两类二维相关正态分布条件下的最小错误率贝叶斯分类器，基于最小风险的贝叶斯分类器，Parzen窗法非参数估计分类器程序，Fisher线性判别法分类器程序。-Under normal conditions two types of two-dimensional correlation of minimum error rate of Bayesian classifier, the minimum risk-based Bayesian classifier, Parzen window meth
Ionosphere_LR
- 电离层的贝叶斯分类器，使用matlab编程开发，具有正确率高的优点-Ionosphere Bayesian classifier, using the matlab program development, the advantages with the correct rate
bayescode
- 一种自己设计的贝叶斯分类器,具有一定的参考价值-A kind of self-designed Bayesian classifier, with some reference value
Bayes
- 贝叶斯分类器，基于最小错误率的贝叶斯分类器-Bayes
FullBNT-1.0.4
- 比较全面的贝叶斯工具箱，包含贝叶斯分类器等的设计等-bayes tools box
Bayes
- 贝叶斯分类器的分类原理是通过某对象的先验概率，本文详细介绍贝叶斯分类器，使用贝叶斯分类器对样本进行训练分类，得到良好分类结果，并对分类结果进行分析。-Principle of Bayesian classifiers is through prior probability of an object, the paper describes Bayesian classifier, Bayesian classifier using the training sample classificat
模式识别第一次作业
- 1． 用 dataset1.txt 作为训练样本，用dataset2.txt 作为测试样本，采用身高和体重数据为特征，在正态分布假设下估计概率密度（只用训练样本），建立最小错误率贝叶斯分类器，写出所用的密度估计方法和得到的决策规则，将该分类器分别应用到训练集和测试集，考察训练错误率和测试错误率。将分类器应用到dataset3 上，考察测试错误率的情况。(1. using dataset1.txt as training samples as test samples by dataset2.tx
20170608贝叶斯分类器实验
- 贝叶斯分类器，通过事先sample样本的训练，能够快速准确的实现对待分类样本的识别分类(Bias classifier, through the training of sample samples in advance, can quickly and accurately realize the classification and classification of the classified samples)
模式识别
- 简单的贝叶斯分类器，实现基于身高体重的男女性别分类(Simple Bias classifier)
Bayes classifier
- 基于贝叶斯分类器的数据处理与MATLAB实现(Data processing based on MATLAB implementationof Bayes classifier)
分类器评估及交叉验证_代码
- 内有鸢尾花数据的5折交叉验证实验代码，采用的分类器是贝叶斯分类器。(There is a 5-fold cross-validation experiment code for the iris data, and the classifier used is a Bayesian classifier.)
贝叶斯人脸识别
- Pattern-Recognition-and-Machine-Learning-master,项目包括使用贝叶斯分类器的字符识别，基于GMM的图像分割，使用PCA的人脸识别和具有径向基函数的多类SVM分类器(Pattern-Recognition-and-Machine-Learning-master)